Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
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276: Data Science in Wealth Management
Udgivet: 5.7.2019 -
275: Machine Learning Through Reinforcement & Contextual Bandits
Udgivet: 3.7.2019 -
274: Ask the Right Question
Udgivet: 28.6.2019 -
273: Predict, Prevent, Detect: Cyber Security
Udgivet: 26.6.2019 -
272: Data Science in Energy
Udgivet: 21.6.2019 -
271: Making the Public Graphically Literate
Udgivet: 19.6.2019 -
270: The Cold is My Master
Udgivet: 14.6.2019 -
269: Maximizing Advertising Efforts With Data
Udgivet: 12.6.2019 -
268: Data Science in Insurance
Udgivet: 7.6.2019 -
267: Achieving Data Science Maturity
Udgivet: 5.6.2019 -
266: Exploration vs Exploitation
Udgivet: 31.5.2019 -
265: Data Science in the World of Big Data
Udgivet: 29.5.2019 -
264: Data Science in Agriculture
Udgivet: 24.5.2019 -
263: Communicating Data
Udgivet: 22.5.2019 -
262: You Cannot Make Progress Without a Routine
Udgivet: 17.5.2019 -
261: Succeeding in Data Science with the Trichotomy of Control
Udgivet: 15.5.2019 -
260: Data Science in Real Estate
Udgivet: 10.5.2019 -
259: Building Machine Autonomy With Neural Networks
Udgivet: 8.5.2019 -
258: Eating S.L.O.W.L.Y.
Udgivet: 3.5.2019 -
257: AI: How Far We Haven’t Actually Come
Udgivet: 1.5.2019
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.
